Introduction to Data Engineering: Learn the skills needed to break into Data Engineering
English | 2022-02-11 | ISBN: 1108454798 | 214 Pages | PDF EPUB | 4 MB
With the rise of Data Science and Machine Learning, Data Eeering is quickly becoming an in-demand skill.
Data Eeering requires a unique skill set that is hard to learn without experience. I will teach you how to write scalable data pipelines and more!
Introduction
Chapter 1 - The Theory
Chapter 2 - Data Pipeline Basics
Chapter 3 - Pipeline Architecture
Chapter 4 - Storage
Chapter 5 - Compute and Resources
Chapter 6 - Mastering SQ
Chapter 7 - Data Warehousing / Data Lakes
Chapter 8 - Data Modeling
Chapter 9 - Data Quality
Chapter 10 - DevOps for Data Eeers
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